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Employing the Mean-Field Approximation Technique in Multiagent Reinforcement Learning to Control Signalized Intersections in an Urban Network
Publisher: American Society of Civil Engineers
Abstract: AbstractTraffic signal control is a difficult task to ensure the performance of traffic networks
in major cities around the world. Multiagent reinforcement learning (MARL) is a promising
approach for traffic light management. ...
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